{"id":335,"date":"2019-08-27T14:43:36","date_gmt":"2019-08-27T06:43:36","guid":{"rendered":"https:\/\/www.bihec.com\/brimrose\/?p=335"},"modified":"2019-08-27T14:43:36","modified_gmt":"2019-08-27T06:43:36","slug":"brimrose-aotf-nir%e5%85%89%e8%b0%b1%e4%bb%aa%e6%b5%8b%e5%ae%9a%e6%a0%91%e8%84%82%e5%af%b9%e7%a1%ac%e5%8c%96%e5%89%82%e7%9a%84%e7%99%be%e5%88%86%e6%af%94","status":"publish","type":"post","link":"https:\/\/www.bihec.com\/brimrose\/brimrose-aotf-nir%e5%85%89%e8%b0%b1%e4%bb%aa%e6%b5%8b%e5%ae%9a%e6%a0%91%e8%84%82%e5%af%b9%e7%a1%ac%e5%8c%96%e5%89%82%e7%9a%84%e7%99%be%e5%88%86%e6%af%94\/","title":{"rendered":"Brimrose AOTF-NIR\u5149\u8c31\u4eea\u6d4b\u5b9a\u6811\u8102\u5bf9\u786c\u5316\u5242\u7684\u767e\u5206\u6bd4"},"content":{"rendered":"

Brimrose<\/a> AOTF-NIR\u5149\u8c31\u4eea<\/a>\u6d4b\u5b9a\u6811\u8102\u5bf9\u786c\u5316\u5242\u7684\u767e\u5206\u6bd4<\/u><\/strong><\/p>\n

I.\u00a0 \u7b80\u4ecb<\/u><\/strong><\/p>\n

\u58f0\u5149\u53ef\u8c03<\/a>\u6ee4\u6ce2\u5668\uff08 AOTF<\/a>\uff09\u7684\u539f\u7406\u57fa\u4e8e\u5149\u5728\u5404\u5411\u5f02\u6027\u4ecb\u8d28\u4e2d\u7684\u58f0\u6298\u5c04\u3002\u88c5\u7f6e\u7531\u7c98\u5728\u53cc\u6298\u5c04\u6676\u4f53\u4e0a\u7684\u538b\u7535\u5bfc\u5c42\u6784\u6210\u3002\u5f53\u5bfc\u5c42\u88ab \u5e94\u7528<\/a>\u7684\u5c04\u9891\uff08RF\uff09\u4fe1\u53f7\u6fc0\u53d1\u65f6\uff0c\u5728\u6676\u4f53\u5185\u4ea7\u751f\u58f0\u6ce2\u3002\u4f20\u5bfc\u4e2d\u7684\u58f0\u6ce2\u4ea7\u751f\u6298\u5c04\u7387\u7684\u5468\u671f\u6027\u8c03\u5236\u3002\u8fd9\u63d0\u4f9b\u4e86\u4e00\u4e2a\u79fb\u52a8\u7684\u76f8\u6805\uff0c\u5728\u7279\u5b9a\u6761\u4ef6\u4e0b\u6298\u5c04\u5165\u5c04\u5149\u675f\u7684\u90e8\u5206\u3002\u5bf9\u4e8e\u4e00\u4e2a\u56fa\u5b9a\u7684\u58f0\u9891\uff0c\u5149\u9891\u7684\u4e00\u4e2a\u7a84\u5e26\u6ee1\u8db3\u76f8\u5339\u914d\u6761\u4ef6\uff0c\u88ab\u7d2f\u52a0\u6298\u5c04\u3002RF\u9891\u7387\u6539\u53d8\uff0c\u5149\u7684\u5e26\u901a\u4e2d\u5fc3\u76f8\u5e94\u6539\u53d8\u4ee5\u7ef4\u6301\u76f8\u5339\u914d\u6761\u4ef6\u3002<\/p>\n

\u5149\u8c31\u7684 \u8fd1\u7ea2\u5916<\/a>\u8303\u56f4\u4ece800nm\u52302500 nm\u5ef6\u4f38\u3002\u5728\u8fd9\u4e2a\u533a\u57df\u6700\u7a81\u51fa\u7684\u5438\u6536\u8c31\u5e26\u5f52\u56e0\u4e8e\u4e2d\u7ea2\u5916\u533a\u57df\u7684\u57fa\u9891\u632f\u52a8\u7684\u6cdb\u9891\u548c\u5408\u9891\u3002\u662f\u57fa\u6001\u5230\u7b2c\u4e8c\u6fc0\u53d1\u6001\u6216\u7b2c\u4e09\u6fc0\u53d1\u6001\u7684\u80fd\u7ea7\u8dc3\u8fc1\u3002\u56e0\u4e3a\u8f83\u9ad8\u80fd\u7ea7\u8dc3\u8fc1\u8fde\u7eed\u4ea7\u751f\u7684\u6982\u7387\u8f83\u5c0f\uff0c\u6bcf\u4e2a\u6cdb\u9891\u7684\u5f3a\u5ea6\u8fde\u7eed\u51cf\u5f31\u3002\u7531\u4e8e\u8dc3\u8fc1\u7684\u7b2c\u4e8c\u6216\u7b2c\u4e09\u6fc0\u53d1\u6001\u6240\u9700\u7684\u80fd\u91cf\u8fd1\u4f3c\u4e8e\u7b2c\u4e00\u7ea7\u8dc3\u8fc1\u6240\u9700\u80fd\u91cf\u7684\u4e8c\u500d\u6216\u4e09\u500d\uff0c\u5438\u6536\u8c31\u5e26\u4ea7\u751f\u5728\u57fa\u9891\u6ce2\u957f\u7684\u4e00\u534a\u548c\u4e09\u5206\u4e4b\u4e00\u5904\u3002\u9664\u7b80\u5355\u7684\u6cdb\u9891\u4ee5\u5916\uff0c\u4e5f\u4ea7\u751f\u5408\u9891\u3002\u8fd9\u4e9b\u901a\u5e38\u5305\u62ec\u5ef6\u4f38\u52a0\u4e0a\u4e00\u4e2a\u6216\u591a\u4e2a\u632f\u52a8\u65b9\u5f0f\u7684\u4f38\u7f29\u3002\u5927\u91cf\u4e0d\u540c\u5408\u9891\u662f\u53ef\u80fd\u7684\uff0c\u56e0\u800c\u8fd1\u7ea2\u5916\u533a\u57df\u590d\u6742\uff0c\u6709\u8bb8\u591a\u8c31\u5e26\u5f7c\u6b64\u90e8\u5206\u53e0\u52a0\u3002<\/p>\n

\u73b0\u5728\uff0c NIR<\/a>S\u88ab\u7528\u4f5c\u5b9a\u91cf\u5de5\u5177\uff0c\u5b83\u4f9d\u8d56\u5316\u5b66\u8ba1\u91cf\u5b66\u6765\u53d1\u5c55\u6821\u6b63\u7ec4\u6210\u7684\u53c2\u7167\u5206\u6790\u548c \u8fd1\u7ea2\u5916\u5149\u8c31<\/a>\u7684\u5206\u6790\u7684\u5173\u8054\u3002\u8fd1\u7ea2\u5916\u6570\u636e\u7684\u6570\u5b66\u5904\u7406\u5305\u62ec\u591a\u5143\u7ebf\u6027\u56de\u5f52\u6cd5\uff08MLR\uff09\u3001 \u4e3b\u6210\u5206\u5206\u6790\u6cd5<\/a>\uff08PCA\uff09\u3001\u4e3b\u6210\u5206\u56de\u5f52\u6cd5\uff08PCR\uff09\u3001 \u504f\u6700\u5c0f\u4e8c\u4e58\u6cd5<\/a>\uff08PLS\uff09\u548c\u8bc6\u522b\u5206\u6790\u3002\u6240\u6709\u8fd9\u4e9b\u7b97\u6cd5\u53ef\u4ee5\u5355\u72ec\u6216\u8054\u5408\u4f7f\u7528\u6765\u5f97\u5230\u6709\u4ef7\u503c\u7ec4\u6210\u7684\u5b9a\u6027\u63cf\u8ff0\u548c\u5b9a\u91cf\u9884\u6d4b\u3002<\/p>\n

$\"\"$ <\/p>\n

II.\u00a0 \u6d4b\u91cf\u65b9\u6cd5<\/u><\/strong><\/p>\n

\u00a0<\/strong><\/p>\n

\n
Sample Preparation<\/strong><\/li>\n<\/ol>\n
Brimrose was supplied with approximately 300ml of a polyester resin solution labeled COAT1 and approximately 100 ml of a polyisocyanate solution labeled CO-REACTANT 1.\u00a0 Because both solutions were too viscous to be drawn through a measuring pipette, an alternate method for measuring out proportions was used.\u00a0 Using a measuring pipette, 10mL of ethyl acetate was measured and dispensed into a small 15mL vial and the level obtained was marked.\u00a0 This procedure was repeated for each vial.\u00a0 Each vial was then filled to this mark with the polyester resin.\u00a0 A similar procedure was used to measure the more viscous co-reactant.\u00a0 The ends of the plastic pipette tips were enlarged by clipping off approximately 5mm of the tip, so that the co-reactant could be drawn into them.\u00a0 An amount of ethyl acetate was drawn into the pipette tip and the level marked.\u00a0 This was done for each sample prepared as a secondary assurance that the proper amount of co-reactant was being drawn into the pipette tip (see Tables 1 and 2 for prepared samples).\u00a0 Twenty five percent of the co-reactant is ethyl acetate.\u00a0 In order to obtain a true percent volume of the co-reactant in each sample the 25% ethyl acetate was first factored out.\u00a0 The product was then divided by the total volume and multiplied by a constant of 10.\u00a0\u00a0 A chemical reaction begins to take place upon mixing of the two solutions and spectra were immediately collected.<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Sample<\/td>\n COAT1<\/td>\n Co-reactant<\/td>\n % Co-reactant<\/td>\n<\/tr>\n
S-01<\/td>\n 10ml<\/td>\n 0.600ml<\/td>\n 0.42<\/td>\n<\/tr>\n
S-02<\/td>\n 10ml<\/td>\n 0.550ml<\/td>\n 0.39<\/td>\n<\/tr>\n
S-03<\/td>\n 10ml<\/td>\n 0.530ml<\/td>\n 0.38<\/td>\n<\/tr>\n
S-04<\/td>\n 10ml<\/td>\n 0.500ml<\/td>\n 0.36<\/td>\n<\/tr>\n
S-05<\/td>\n 10ml<\/td>\n 0.480ml<\/td>\n 0.34<\/td>\n<\/tr>\n
S-06<\/td>\n 10ml<\/td>\n 0.450ml<\/td>\n 0.32<\/td>\n<\/tr>\n
S-07<\/td>\n 10ml<\/td>\n 0.430ml<\/td>\n 0.31<\/td>\n<\/tr>\n
S-08<\/td>\n 10ml<\/td>\n 0.400ml<\/td>\n 0.29<\/td>\n<\/tr>\n
S-09<\/td>\n 10ml<\/td>\n 0.380ml<\/td>\n 0.27<\/td>\n<\/tr>\n
S-10<\/td>\n 10ml<\/td>\n 0.350ml<\/td>\n 0.25<\/td>\n<\/tr>\n
S-11<\/td>\n 10ml<\/td>\n 0.330ml<\/td>\n 0.24<\/td>\n<\/tr>\n
S-12<\/td>\n 10ml<\/td>\n 0.300ml<\/td>\n 0.22<\/td>\n<\/tr>\n
S-13<\/td>\n 10ml<\/td>\n 0.280ml<\/td>\n 0.20<\/td>\n<\/tr>\n
S-13A<\/td>\n 10ml<\/td>\n 0.280ml<\/td>\n 0.20<\/td>\n<\/tr>\n
S-14<\/td>\n 10ml<\/td>\n 0.250ml<\/td>\n 0.18<\/td>\n<\/tr>\n
S-14A<\/td>\n 10ml<\/td>\n 0.250ml<\/td>\n 0.18<\/td>\n<\/tr>\n
S-15<\/td>\n 10ml<\/td>\n 0.550ml<\/td>\n 0.39<\/td>\n<\/tr>\n
S-16<\/td>\n 10ml<\/td>\n 0.600ml<\/td>\n 0.42<\/td>\n<\/tr>\n
S-16A<\/td>\n 10ml<\/td>\n 0.600ml<\/td>\n 0.42<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
<\/p>\n
Table 1.<\/strong>\u00a0\u00a0 Calibration Set<\/p>\n
<\/p>\n\n\n\n\n\n\n\n\n\n\n
Sample<\/td>\n COAT1<\/td>\n Co-reactant<\/td>\n % Co-reactant<\/td>\n<\/tr>\n
VAL-17<\/td>\n 10ml<\/td>\n 0.570ml<\/td>\n 0.40<\/td>\n<\/tr>\n
VAL-18<\/td>\n 10ml<\/td>\n 0.520ml<\/td>\n 0.37<\/td>\n<\/tr>\n
VAL-18<\/td>\n 10ml<\/td>\n 0.520ml<\/td>\n 0.37<\/td>\n<\/tr>\n
VAL-19<\/td>\n 10ml<\/td>\n 0.460ml<\/td>\n 0.33<\/td>\n<\/tr>\n
VAL-19<\/td>\n 10ml<\/td>\n 0.460ml<\/td>\n 0.33<\/td>\n<\/tr>\n
VAL-20<\/td>\n 10ml<\/td>\n 0.4150ml<\/td>\n 0.30<\/td>\n<\/tr>\n
VAL-20<\/td>\n 10ml<\/td>\n 0.415ml<\/td>\n 0.30<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
<\/p>\n
Table 2.<\/strong>\u00a0 Validation Set<\/p>\n
<\/p>\n
\n
Data Collection<\/strong><\/li>\n<\/ol>\n
<\/p>\n
A Brimrose AOTF-NIR Luminar<\/a> spectrometer was used for data collection.\u00a0 Spectra were collected in transmission mode using fiber optic cable with 600mm diameter low OH Silica core.\u00a0 The spectral range was 900nm to 1700nm with a 2nm resolution.\u00a0 The effective path-length was 10mm.\u00a0 Spectra were also collected on the raw solutions.<\/p>\n
III. Results<\/u><\/strong><\/p>\n
\n
Spectra<\/strong><\/li>\n<\/ol>\n
\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 <\/strong>The absorbance spectra of the raw solutions are shown below in Figure 2. \u00a0These spectra show clearly the areas of each solution that absorb differently.\u00a0 Figure 2 shows that the co-reactant absorbs quite strongly between 1450nm and 1600nm, while the polyester resin has no absorbing properties in the same region.\u00a0 This will prove to be an important region when modeling the data and will be discussed later in this report.\u00a0 There is a slight difference between the absorbing characteristics of the resin and the co-reactant at 1384nm.\u00a0 It is clear that the resin has a stronger absorbing peak at 1177nm.\u00a0\u00a0 These two areas of the spectral range will also show to be important when modeling the data.<\/p>\n
$\"\"$ <\/p>\n
Figure 2.\u00a0 <\/strong>Absorbance spectra of raw solutions<\/p>\n
$\"\"$ <\/p>\n
Figure 3<\/strong>.\u00a0 Absorbance spectra of mixed COAT1 and co-reactant solutions<\/p>\n
<\/p>\n
Initially 16 samples were prepared.\u00a0 An aliquot of samples S-13, S-14, and S-16 were scanned and added into the calibration for a combined total of 19.\u00a0 Spectra of the 19 samples are shown in Figure 3.\u00a0 Later 4 additional samples with proportions not represented in the calibration set were prepared and scanned.\u00a0 An aliquot of VAL-18, VAL-19 and VAL-20, for a total of 7 samples in the validation set, were also scanned and included in the total matrices (see Table 2).<\/p>\n
\n
Modeling and Regressions<\/strong><\/li>\n<\/ol>\n
There were a total of 26 spectra, which were imported as absorbance data into the chemometrics software package The Unscrambler\u00e4.\u00a0 As stated earlier in this report, the complete wavelength range was from 900nm to 1700nm.\u00a0 For modeling purposes, different wavelength regions were examined in an attempt to obtain the best results.\u00a0 After analyzing the spectra and performing regressions on several different regions, the region between 1172nm and 1620nm was found to give the best results.\u00a0 Sample S-03 was considered a highly influential outlier due to both high residual Y variance and leverage and was not included in the regression.\u00a0 The regression is shown below in Figure 4.\u00a0 With sample S-03 removed, the regression shows very good correlation between X (spectra) and Y (response or measured) data.\u00a0 This holds true for both the calibration and validation.\u00a0 Correlation values were 0.97 and 0.95 respectively.\u00a0 The SEP (standard error of prediction) and SEC (standard error of calibration) was 0.028 and 0.022 respectively.<\/p>\n
$\"\"$ <\/p>\n
Figure 4.<\/strong>\u00a0 Regression on % co-reactant with one outlier removed.<\/p>\n
As previously mentioned, the region between 1450nm and 1600nm is an area in which the COAT1 solution does not absorb and the co-reactant absorbs quite strongly.\u00a0 This same wavelength region results in very high regression coefficients and X loading, which indicates there is information in the spectral data that correlates well to the measured Y response values.\u00a0 Regression coefficients and X loading are shown below in Figures 5 and 6 respectively.\u00a0 Although not quite as pronounced, the regression coefficients and X loading are slightly higher in the other two spectral regions of interest, i.e. 1384nm and 1177nm.<\/p>\n
$\"\"$ <\/p>\n
Figure 5.<\/strong>\u00a0 X \u2013 Loading for PC\u2019s 1 and 2<\/p>\n
$\"\"$ <\/p>\n
Figure 6.<\/strong>\u00a0 Regression coefficients for second Principle Component<\/p>\n
<\/p>\n
\n
Prediction<\/strong><\/li>\n<\/ol>\n
A model built from 18 calibration samples, which excluding sample S-03 was applied to the 7 samples mixed and retained for validating the model. These samples are identified as such in Table 2. The SEP for the Validation set was 0.026 and agrees quite closely with 0.027 given for the model.\u00a0 Prediction results can be seen in Table 3 below.<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n
<\/td>\n \u00a0\u00a0\u00a0\u00a0\u00a0 % Co-Reactant by Volume<\/td>\n <\/td>\n<\/tr>\n
Sample<\/td>\n Predicted<\/td>\n Measured<\/td>\n Difference<\/td>\n<\/tr>\n
VAL-17<\/td>\n 0.414<\/td>\n 0.40<\/td>\n 0.010<\/td>\n<\/tr>\n
VAL-18<\/td>\n 0.361<\/td>\n 0.37<\/td>\n -0.010<\/td>\n<\/tr>\n
VAL-18<\/td>\n 0.358<\/td>\n 0.37<\/td>\n -0.013<\/td>\n<\/tr>\n
VAL-19<\/td>\n 0.342<\/td>\n 0.33<\/td>\n 0.012<\/td>\n<\/tr>\n
VAL-19<\/td>\n 0.392<\/td>\n 0.33<\/td>\n 0.062<\/td>\n<\/tr>\n
VAL-20<\/td>\n 0.336<\/td>\n 0.30<\/td>\n 0.037<\/td>\n<\/tr>\n
VAL-20<\/td>\n 0.308<\/td>\n 0.30<\/td>\n 0.009<\/td>\n<\/tr>\n
<\/td>\n <\/td>\n SEP=<\/td>\n 0.026<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
<\/p>\n
Table 3.<\/strong>\u00a0 Prediction result on % co-reactant<\/p>\n
\n
Conclusion<\/u><\/strong><\/li>\n<\/ol>\n
The results of this feasibility study indicate that the determination of\u00a0 % co-reactant in a mixture with COAT1 is very feasible using the Brimrose AOTF-NIR<\/a> Luminar<\/a> spectrometer.\u00a0 However, better results could be obtained by using a larger calibration set of approximately 40 samples in a laboratory with tools that allow for more accurate measurements.\u00a0 There were many unavoidable errors because of the limited resources available for doing this experiment.\u00a0 This is especially true for the more viscous co-reactant.\u00a0 It was necessary to first measure a volume of solvent and then pour this amount in a vial.\u00a0 The volume amount was then marked on the vial.\u00a0 The COAT1 was then poured into the vial and brought to the mark.\u00a0 This two step process increased the amount of error associated with measuring precise amounts.\u00a0 The same procedure was used for the more viscous co-reactant but the error factor was even greater.\u00a0 A certain amount was lost because the pipette tip could not be completely rinsed of the co-reactant.\u00a0 Another error factor was that a given amount of the co-reactant clung to the outside of the pipette and was unavoidably dissolved into the mixture.\u00a0 A third way of introducing error was in the size of the samples.\u00a0 Because none of the samples was greater than 10.6mL, any error in measurement will by compounded by the use of such small samples.\u00a0 Making corrections to the error factors in this experiment should result in obtaining a more precise calibration set which will create a more robust model that is able to predict with greater accuracy.<\/p>\n
AOTF<\/a>\n Brimrose<\/a>\n KOH\u5728\u7ebf\u68c0\u6d4b<\/a>\n PET\u7f9f\u503c<\/a>\n PET\u9178\u503c<\/a>\n \u4fbf\u643a\u5f0f\u5149\u8c31\u4eea<\/a>\n \u5085\u91cc\u53f6\u7ea2\u5916\u5149\u8c31\u4eea<\/a>\n \u5728\u7ebf\u8fd1\u7ea2\u5916<\/a>\n \u5728\u7ebf\u8fd1\u7ea2\u5916\u5149\u8c31\u4eea<\/a>\n \u6811\u8102\u5bf9\u786c\u5316\u5242\u767e\u5206\u6bd4<\/a>\n \u7ea2\u5916\u5149\u8c31<\/a>\n \u7ea2\u5916\u5149\u8c31\u4eea<\/a>\n \u7ea2\u5916\u5149\u8c31\u5206\u6790\u4eea\u5668<\/a>\n \u7ea2\u5916\u5728\u7ebf<\/a>\n \u805a\u916f<\/a>\n \u8fd1\u7ea2\u5916\u5149\u8c31<\/a>\n \u8fd1\u7ea2\u5916\u5149\u8c31\u5206\u6790\u4eea<\/a>\n \u8fd1\u7ea2\u5916\u5149\u8c31\u6280\u672f<\/a>\n \u8fd1\u7ea2\u5916\u5728\u7ebf\u5149\u8c31\u4eea<\/a>\n \u8fd1\u7ea2\u5916\u5728\u7ebf\u6c34\u4efd\u6d4b\u5b9a\u4eea<\/a><\/div>","protected":false},"excerpt":{"rendered":"
Brimrose AOTF-NIR\u5149\u8c31\u4eea\u6d4b\u5b9a\u6811\u8102\u5bf9\u786c\u5316\u5242\u7684\u767e\u5206\u6bd4 I.\u00a0 \u7b80\u4ecb \u58f0\u5149\u53ef\u8c03\u6ee4\u6ce2\u5668\uff08AOTF\uff09\u7684\u539f\u7406\u57fa\u4e8e\u5149\u5728\u5404\u5411\u5f02\u6027\u4ecb\u8d28\u4e2d\u7684\u58f0\u6298\u5c04\u3002\u88c5\u7f6e\u7531\u7c98\u5728\u53cc\u6298\u5c04\u6676\u4f53\u4e0a\u7684\u538b\u7535\u5bfc\u5c42\u6784\u6210 <\/p>\n","protected":false},"author":19,"featured_media":175,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[1],"tags":[33,34,43,48,47,53,55,36,35,164,50,51,57,60,45,52,56,58,37,163],"_links":{"self":[{"href":"https:\/\/www.bihec.com\/brimrose\/wp-json\/wp\/v2\/posts\/335"}],"collection":[{"href":"https:\/\/www.bihec.com\/brimrose\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.bihec.com\/brimrose\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.bihec.com\/brimrose\/wp-json\/wp\/v2\/users\/19"}],"replies":[{"embeddable":true,"href":"https:\/\/www.bihec.com\/brimrose\/wp-json\/wp\/v2\/comments?post=335"}],"version-history":[{"count":0,"href":"https:\/\/www.bihec.com\/brimrose\/wp-json\/wp\/v2\/posts\/335\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.bihec.com\/brimrose\/wp-json\/wp\/v2\/media\/175"}],"wp:attachment":[{"href":"https:\/\/www.bihec.com\/brimrose\/wp-json\/wp\/v2\/media?parent=335"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.bihec.com\/brimrose\/wp-json\/wp\/v2\/categories?post=335"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.bihec.com\/brimrose\/wp-json\/wp\/v2\/tags?post=335"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}